Target person identification and following based on omnidirectional camera and LRF data fusion

Mehrez Kristou, Akihisa Ohya, Shin'Ichi Yuta

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 Citations (Scopus)

Abstract

In this paper, we present the current progress of our approach to identify and follow a target person for a service robot application. The robot is equipped with LRF and Omni directional camera. Our approach is based on multi-sensor fusion in which a person is identified using the panoramic image and tracked using the LRF. The selection of the target person is implemented to improve the identification when multiple candidates are detected. Our approach is successfully implemented on a mobile robot. A simplified target person following behavior is implemented to focus on the proposed method's efficiency. Several experiments are conducted and showed the effectiveness of our approach to identify and follow human in indoor environments.

Original languageEnglish
Title of host publication2011 RO-MAN - 20th IEEE International Symposium on Robot and Human Interactive Communication, Symposium Digest
Pages419-424
Number of pages6
DOIs
Publication statusPublished - 2011 Sep 26
Event20th IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2011 - Atlanta, GA, United States
Duration: 2011 Jul 312011 Aug 3

Publication series

NameProceedings - IEEE International Workshop on Robot and Human Interactive Communication

Conference

Conference20th IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2011
CountryUnited States
CityAtlanta, GA
Period11/7/3111/8/3

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ASJC Scopus subject areas

  • Software
  • Artificial Intelligence
  • Human-Computer Interaction

Cite this

Kristou, M., Ohya, A., & Yuta, SI. (2011). Target person identification and following based on omnidirectional camera and LRF data fusion. In 2011 RO-MAN - 20th IEEE International Symposium on Robot and Human Interactive Communication, Symposium Digest (pp. 419-424). [6005248] (Proceedings - IEEE International Workshop on Robot and Human Interactive Communication). https://doi.org/10.1109/ROMAN.2011.6005248